Machine Learning Engineer
April 24
🏡 Remote – Anywhere in California
Description
• Responsible for scaling Syntax’s set of classified public and private companies. • Evaluate NLP algorithms and develop a ML model to classify companies. • Deploy ML models to the cloud and develop APIs for access.
Requirements
• A bachelor’s degree or higher in computer science, data science or related discipline. • 3+ years work experience in the machine learning field. • Prior professional experience working with NLP and machine learning. • Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy and strong understanding of software engineering principles and best practices. • Strong knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.). • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. • Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences.
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